By seriously experiencing customer Phone Number Database perspectives, marketers and suppliers are enabled to imagine how the customer is thinking and feeling. As a result, customers feel understood and remain loyal because Phone Number Database the senders and recipients of the message feel the same at the same time. Two currents The strength of both currents is clear. Cambridge Analytica bombards people with personalized messages Phone Number Database that respond to their character traits and searches for a shape until they arrive.
Brooks tries to take the way in which Phone Number Database groups of people give meaning to their lives and the context in which they move as a starting point for her messages. And also for the interpretation of big data that Phone Number Database still takes place within this movement. Both trends are successful: Analytica is likely to become President Trump's purveyor, while Brooks' company ModelPeople serves Phone Number Database managers of Fortune 500 organizations. It is difficult to answer the question which of the two schools of thought is more effective in directing our behaviour.
The results of the very small AI experiment on myself are not exactly convincing.
On the other hand, I wonder to Phone Number Database what extent corporate marketers are able to really put themselves in the shoes of their customers. Even Brooks points out that there is a gap between the two groups. The tools to Phone Number Database generate customer empathy are described by Brooks too succinctly to be convincing, as much of the science in the book is only touched upon. On the other hand, I welcome any initiative that tries to make big data more human and empathetic.